Tech jobs
Job listings
Data Scientist: ML & Visualization on Site
lol.travel in Rimini, EMI, IT, is seeking a Data Scientist for a full-time on-site role. The position offers opportunities for career growth in a dynamic travel-tech environment located in Rimini. Ideal candidates…
Data scientist at lol.travel
lol.travel in Rimini, EMI, IT, is seeking a Data Scientist for a full-time on-site role. The position offers opportunities for career growth in a dynamic travel-tech environment located in Rimini. Ideal candidates…
Senior Data Engineer I
Senior Data Engineer on SHEIN's Data Engineering team in San Diego, building and productionizing GenAI/LLM tools (RAG, agents, SQL/code assistance, incident triage automation) to boost data-engineering productivity. Core stack is Python, SQL, and LLM APIs, with exposure to large-scale data tech like Spark, Kafka, and Airflow.
Big Data Engineer - Technical Leader - Fino A €50.000 All'Anno
Technical leader for Big Data projects at eGlue's IT consulting division: managing a development team, integration layers and the architecture of a Big Data platform for a finance-sector client. Hybrid role in Turin; stack spans Cloudera/Databricks/AWS, streaming tools (Kafka, Flink, Spark Streaming), Java/Python/Scala and NoSQL databases.
Senior Data Scientist H/F
En tant que Senior Data Scientist , vous serez responsable des missions suivantes : - Développement de modèles prédictifs et prescriptifs : Concevoir et entraîner des modèles de Segmentation Client (clustering, RFM,…
Principal Software Engineer
Overview: As the principal engineer, you will define and drive Nerdy’s technical vision and architecture across multiple teams, architect complex systems at scale, and elevate engineering quality—while advancing…
Senior Data Scientist
Senior Data Scientist designs and deploys AI/ML models for financial services clients, leading projects from prototype to production while mentoring teams in Python, cloud platforms, and responsible AI practices.
Senior Data Engineering - PSM-Libra
Build and maintain scalable data pipelines and analytics platforms for financial institutions using big data tools like Spark, Hive, and cloud platforms.

